JRM Technologies, Inc., in conjunction with Terrex and CG2, proposes todevelop a low-cost, physics-based spectral scene generator as a reliablealternative to field data collection for the development and evaluationof advanced hyper/multi-spectral sensor concepts and associated signalprocessing… More

This Phase I effort will establish rigorous technical requirements necessary to simulate image intensifiers (NVGs) credibly and realistically in US Army NVG simulators. The associated analysis and requirements definition will cover such areas asintra-scene and intensifier dynamic range and spatial… More

JRM Technologies, Inc., in conjunction with TerraSim and Surface Optics, propose to transition JRM's successful Phase I physics-based 0.4-25 um spectral ray-tracer into a complete, validated simulator prototype, capable of realistic tactical hyper-spectralscenarios from arbitrary GIS data… More

This Phase II effort develops a comprehensive set of physics-based, predictive spectral signature, atmospheric and sensor effects tools advancing Night Vision simulation for both advanced concept studies and low-cost military training applications.Signature phenomenology advancements include… More

JRM proposes a novel context-dependent, signature-based approach to improve the automation and quality of material-classification of imagery and arbitrary n-channel remote-sensed data. In the Phase I, JRM will design three key components: (1) anautomated N-channel signature-predictive material… More

JRM Technologies proposes to develop a comprehensive, PC-based, high-fidelity physics-based IR scene generation system as a reliable alternative to field data for the evaluation of emerging IR sensor designs. In order to provide the sensor analyst a complete end-to-end product that will afford… More

JRM proposes to integrate advanced high-fidelity thermal modeling techniques into it's existing AFRL hyper-spectral scene simulator to produce a comprehensive, full-scene scalable-fidelity-performance (SFP) simulation system for the IR sensor analyst. The Phase II effort will implement the… More

JRM proposes to develop a scalable-fidelity-performance simulation system for the exploration of multi-sensor suites and ATR algorithms addressing the problem of mobile target acquisition in large-scale, dynamic, and widely varying environmental scenarios. This simulation system will provide for… More

JRM Technologies proposes to develop innovative new vision- and figure-of-merit-based models for search and target acquisition performance prediction of EO-IR sensors against small tactical sea-based targets. These models will directly address the limitations of traditional land-based models like… More

JRM proposes a novel context-dependent, signature-based approach to improve the automation and quality of material-classification of imagery and arbitrary n-channel remote-sensed data. In the Phase I, JRM will design three key components: (1) an automated N-channel signature-predictive material… More

JRM Technologies proposes to develop innovative new vision- and figure-of-merit-based models for search and target acquisition performance prediction of EO-IR sensors against small tactical sea-based targets. These models will directly address the limitations of traditional land-based models like… More

JRM Technologies, and it's team member SAIC DEMACO propose to develop an innovative new approach for fast, high-fidelity RF signature prediction of ground targets in arbitrarily-complex background-clutter. The Phase I effort will design an algorithmic approach for synthesizing more comprehensive… More

JRM Technologies and SAIC Demaco propose the Phase II development of an innovative global bi-static 3D object model "RF transfer function" for fast, high-fidelity RF signature prediction of ground targets in arbitrarily-complex background-clutter. Such compact model representations can then be… More

JRM Technologies proposes to develop the Correlated Multi-Sensor "Target Chip" Generator for ATR and Feature Extraction in Arbitrary Background Clutter Environments, an innovative new approach for generating credible libraries of target signature chips as a function of user-defined angles and… More

JRM Technologies, and its team member SAIC, DEMACO propose to develop an innovative new approach for fast, high-fidelity active RF Synthetic Scene Generation ideally suited for bi-static transmitter/multiple-receiver scenarios. The Phase I effort will refine an algorithmic approach for a… More

JRM Technologies proposes to develop a high-performance physics-based algorithm for TAWS prediction of urban scene EO/NIR light levels, as seen from arbitrary vantage points. The software implementation will apply radiosity techniques using area discretization of scene elements, but will… More

JRM Technologies proposes to develop a comprehensive set of innovations for high dynamic range (HDR) and high-fidelity (HF) advancements in real-time sensor simulation of night imaging devices like NVG, FLIR and SAR. The Phase I effort will perform design and proof-of-concept studies to address… More

In this Phase II effort, JRM will develop and incorporate dramatic HDR improvements to its suite of real-time sensor libraries to facilitate high-fidelity sensor training and simulation. These libraries are IG-independent, OS-independent and Scene-Graph independent, so the new HDR sensor simulation… More

The recent deployment of high-resolution stereo-imaging sensors aboard satellites affords a unique opportunity to to derive more realistic material classified terrain terrain databases for physics-based sensor and mission trainers. JRM is uniquely experienced and qualified in the many technology… More

JRM Technologies proposes to develop a high-performance physics-based algorithm for prediction of urban scene EO/NIR light levels, as seen from arbitrary vantage points. The algorithms will start with the complicated geometry of buildings, roads, etc., to perform a Monte-Carlo radiance calculation… More

This SBIR affords the opportunity to design a high-speed, spatially correlated, RF clutter map generator that meets the Army's requirements for testing and evaluating integrated flight simulations at AMRDEC. A successful design will input known terrain height and class maps, model the coupled,… More

JRM and DVC propose to develop an innovative approach for on-the-fly (OTF) 3D scene synthesis and physics-based sensor rendering of complex battlespace environments directly from GIS source data at HWIL frame rates (100-400Hz). This approach will carefully address all the requirements for MDA,… More

JRM proposes a new 3D material-classified displacement-map (MCDM) approach with associated automated algorithms for rapid terrain database generation directly from geo-specific source data. The MCDMs will exploit the latest nVidia GPU displacement map shader technology for highly-realistic real-time… More

JRM and VT MK propose an innovative, high-performance approach to the modeling and simulation of remote sensing platforms like the MH60, their respective full-spectrum sensors, and associated navy tactical data links. that is platform-independent, scaleable, and provides for physics-based… More

JRM and Advanced Gaming Solutions Inc, along with Calytrix Technologies, propose to develop a comprehensive Virtual War Game capability for Naval Warfare, focusing particularly on physics-based full-spectrum representation of SPAWAR C4I systems for highly realistic, real-time training for all Navy… More

JRM and DVC propose significant innovations around our powerful OSCRE architecture for rapid scene generation directly from raw terrain source data. OSCRE requires: high-resolution DEM data input, complete shape file/vector maps, and high-resolution satellite imagery. With these inputs, OSCRE… More